Sr Data Scientist

Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives.

Responsibilities

• Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
• Uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
• Uses data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision making.
• Mentors less senior staff and leads cross-functional teams.
• Routinely works on multiple highly complex assignments.
• Provides consultation to senior leadership on a regular basis.
• Performs other duties as assigned.

Requirements

• Superior analytical skills with diverse analytics and statistical software and applications.
• Excellent interpersonal, written, and oral communication skills.
• Proven leadership skills.
• Strong Python skills (data pipelines, automation, scripting).
• Experience with SQL and cloud data warehousing (BigQuery or equivalent).
• Experience with cost/financial data analysis or FinOps-adjacent reporting.
• 3+ years of experience in data science or data engineering roles.
• Experience with medallion (bronze/silver/gold) data architecture.
• Hands-on experience with Databricks (Spark, Delta Lake, notebooks/jobs).
• Proficiency in Power BI and Microsoft 365 (Excel/Power Query) for reporting.
• Terraform / Infrastructure-as-Code experience.
• Applied machine learning experience (forecasting, anomaly detection, cost optimization models).
• Experience building or integrating agentic/LLM-based workflows.
• One of the following certifications: FinOps Certified Practitioner / FinOps for AI, Google Cloud certification, Azure certification, OCI certification.

Qualifications

• Minimum Education: Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics, or related quantitative field. Related experience may offset degree requirements, and related education/degree may offset experience requirements.
• Minimum Experience: Five years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation, and/or predictive analytics.

Domicile Information

The preferred location for this hybrid position is Memphis, TN, Pittsburgh, PA, or Plano, TX. However, we will consider candidates based elsewhere within the United States (excluding Alaska, Hawaii, and U.S. territories). Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx location several times per week.

Pay

• US: $7,094.23/mo - $15,607.31/mo
• CO: $7,094.23/mo - $14,957.01/mo
• MD: $7,488.36/mo - $15,607.31/mo
• NJ: $7,488.36/mo - $15,607.31/mo
• NY: $7,488.36/mo - $15,607.31/mo
• NYC: $9,064.85/mo - $15,607.31/mo
• WA: $7,488.36/mo - $15,607.31/mo